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safe soccer betting strategy
Menciptakan Strategi Taruhan Sepak Bola yang Menguntungkan Menggunakan Pemodelan Statistik

Daftar Isi

  • Pendahuluan
  • 1 Struktur Sepak Bola Liga
  • 2 Taruhan Sepak Bola
    • 2.1 Taruhan Pari-mutuel
    • 2.2 Taruhan Odds Tetap
    • 2.3 Asian Handicap (Hang Cheng)
    • Asian Handicap vs. Odds Tetap
    • 2.5 Taruhan Spread
    • 2.6 Taruhan Orang-ke-Orang
  • 3 Isu Taruhan
  • 4 Persentase Pengembalian
  • 5 Taruhan Internet
  • 6 Perpajakan
  • 7 Ruang Lingkup Tesis
  • Tinjauan Pustaka
    • 1 Pendekatan Maher-Poisson
    • 2 Skema Prediksi Alternatif
      • 2.1 Peringkat Elo dan Model Bradley-Terry
      • 2.2 Model Probit Terurut Multinomial
    • 3 Strategi Taruhan
      • 3.1 Taruhan Optimal Tanpa Batasan untuk Satu Koin Bias
      • 3.2 Taruhan Optimal Tanpa Batasan untuk Banyak Koin Bias
      • 3.3 Lebih Lanjut tentang Kriteria Kelly
  • Deskripsi Data dan Formulasi Model
    • 1 Deskripsi Data
    • 2 Formulasi Regresi Poisson
      • 2.1 Asumsi
      • 2.2 Model Dasar
      • 2.3 Model Parameter Kandang Terpisah
      • 2.4 Model Musim Terpisah
      • 2.5 Perbandingan Model Poisson dengan Data Musim Penuh
      • 2.6 Data Odds dan Model E(Skor)
      • 2.7 Model Koreksi Poisson
      • 2.8 Model Tertimbang
    • 3 Perbandingan Model Poisson Minggu per Minggu
    • 4 Peringkat Elo
    • 5 Model Probit Terurut Multinomial
    • 6 Perbandingan Pendekatan
  • Strategi Taruhan dan Validasi Model
    • 1 Taruhan Nilai
    • 2 Strategi Taruhan
    • 3 Manajemen Uang
    • 4 Validasi pada Data yang Ada
  • Diskusi
    • 5.1 Implementasi Sistem
    • 5.2 Aplikasi Sistem
      • 5.2.1 Sudut Pandang Bandar
      • 5.2.2 Sudut Pandang Petaruh
  • 6 Ringkasan dan Pekerjaan Masa Depan
    • 6.1 Ringkasan
    • 6.2 Pekerjaan Masa Depan
      • 6.2.1 Koreksi Residual
      • 6.2.2 Jenis Taruhan Lain
      • 6.2.3 Kerangka Bayesian
  • Lampiran
    • Lampiran A

Lampiran

Lampiran A

sunderland 0.26128400 0.27698961 0.94329892 tottenham 0.22564444 0.27646742 0.81617009

25237477 wimbledon 0.60385220 0.24273300 2.48772190 (Dispersion Parameter for Poisson family taken to be 1 ) Null Deviance: 549.8061 on 760 degrees of freedom Residual Deviance: 392.8681 on 340 degrees of freedom Table D.2 S-Plus output of the first half of the season 99-00

20862491 villa -0.39163024 0.25260782 -1.55034887 bradford -0.54272934 0.26726749 -2.03065981 chelsea -0.42374071 0.24732011 -1.71332897 coventry -0.59704330 0.27456666 -2.17449307 derby -0.40038806 0.25173327 -1.59052501 everton -0.43686698 0.25838984 -1.69072815 leeds -0.43828573 0.26384727 -1.66113421 leicester -0.31540003 0.25447143 -1.23943202 liverpool -0.62770692 0.27949432 -2.24586645 u 0.15962732 0.21985332 0.72606284 middlesbrough -0.49402055 0.26779904 -1.84474357 newcastle -0.27331082 0.24571065 -1.11232797 w -0.66525973 0.27128318 -2.45227045 southampton -0.62185816 0.26470579 -2.34924276 sunderland -0.52184578 0.26465258 -1.97181443 tottenham -0.39213443 0.25521010 -1.53651615 watford -0.61129731 0.27593916 -2.21533368 ham -0.33900559 0.24635067 -1.37610989 wimbledon -0.87753010 0.30771276 -2.85178325 arsenal 0.47384249 0.27645732 1.71398059 villa 0.01110346 0.30759285 0.03609793 bradford 0.94445940 0.23158170 4.07829883 chelsea -0.06217843 0.30020306 -0.20712124

95862691 wimbledon 0.96889237 0.23164408 4.18267701 (Dispersion Parameter for Poisson family taken to be 1 ) Null Deviance: 538.3198 on 760 degrees of freedom Residual Deviance: 393.6574 on 340 degrees of freedom Table D.3 S-Plus output of the second half of the season 99-00

Referensi

  1. Anderson J.A. (1984), Regression and Ordered Categorical Variables, Journal of Royal Statistical Society, Vol. 46, 1-30.
  2. Bennett J. (1998), Statistics in Sport, Arnold.
  3. Bradley R. A. and Terry M. E. (1952), Rank Analysis of Incomplete Block Designs. I. The Method of Paired Comparisons, Biometrika, Vol. 39, 324-345.
  4. Burke A. (1998), Spread Betting, Rowton Press.
  5. Clarke S. R. and Norman J. M. (1995), Home Ground Advantage of Individual Clubs in English Soccer, The Statistician, Vol. 4, 509-521.
  6. Datamonitor (1999), Online Games and Gambling in Europe and the US 1999- 2004.
  7. Dixon M. J. and Coles S. G. (1997), Modelling Association Football Scores and Inefficiences in the Football Betting Market, Applied Statistics, Vol. 46, 265-280.
  8. Dixon M. J. and Robinson M. E. (1998), A Birth Process Model for Association Football Matches, The Statistician, Vol. 47, 523-538.
  9. Dobson A. J. (1990), An Introduction to Generalized Linear Models, Chapman & Hall. Elo A. E. (1978), The Rating of Chess Players Past and Present, Batsford.
  10. Ernst & Young (2000), Winners and Losers -The Future of Online Betting.
  11. Fahrmeir L. and Tutz G. (1994), Dynamic Stochastic Models for Time-Dependent Ordered Paired Comparison Systems, Journal of American Statistical Association, Vol. 89, 1438-1449.
  12. Forrest D. and Simmons R. (2000), Work of Football Pools Panel, The Statistician, Vol. 49, 253-260.
  13. Glickman M. E. and Stern H. S. (1998), A State-Space Model for National Football League Scores, Journal of American Statistical Association, Vol. 93, 25-
  14. Glickman M.E. and Jones A. C.(1999), Rating the Chess Rating System, Vol.12, 21-28.
  15. Harvey G. (1998), Successful Spread Betting, Take That Ltd.
  16. Harville D. (1980), Predictions for National Football League Games via Linear- Model Methodology, Journal of American Statistical Association, Vol. 75, 516-
  17. Hausch D. B., Lo V. S. Y. and Ziemba W. T. (1994), Efficiency of Racetrack Betting Markets, Academic Press.
  18. Hill I. D. (1974), Association Football and Statistical Inference, Applied Statistics, Vol. 23, 203-208.
  19. Jackson D. A. (1994), Index Betting on Sports, Statistician, Vol. 43, 309-315.
  20. Jacobs S. (1999), Optimal Betting.
  21. Jones A. (1996), College Soccer Ratings.
  22. Kelly J. L. Jr. (1956), A New Interpretation of Information Rate, The Bell System Technical Journal, 917-926.
  23. Lee A. J. (1997), Modeling Scores in the Premier League: Is Manchester United Really the Best?, Chance, Vol. 10, 15-19.
  24. Maher M. J. (1982), Modelling Association Football Scores, Statistica Neerlandica, Vol. 36, 109-118.
  25. McCullach P. and Nelder J. A. (1983), Generalized Linear Models, Chapman & Hall. McCullach P. (1980), Regression Models for Ordinal Data, Journal of Royal Statistical Society, Vol. 42, 109.142. River City Group (2000), Wagering on the Internet.
  26. Rue H. and Salvesen Ø. (2000), Prediction and Retrospective Analysis of Soccer Matches in a League, The Statistician, Vol. 49, 399-418.
  27. Stefani R. T. (1980), Improved Least Squares Football, Basketball and Soccer Predictions, IEEE transactions on systems, man, and cybernetics, Vol. SMC-10, 116-123.
  28. Stern H. (1999), The Man Who Makes the Odds: An Interview with "Roxy" Roxborough, Chance, Vol.12, 15-21.
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